ABSTRACT
The machining of composite materials has been an area of intense research for the past couple of decades due to its wide range of applications, from automobiles to air crafts or from boats to nuclear systems. Non-conventional machining, especially electric discharge machining (EDM), is found to be a good machining option for meeting the required outputs. To overcome the challenges of machining complex shapes, wire electric discharge machining (WEDM) was developed. Al6351 composites was observed to be extensively used in nuclear applications. Therefore, identifying the kerf width and surface roughness are important criteria for the dimensional accuracy of the final product. The present work aims at predicting the behavior of the two major machining parameters which are kerf width and surface roughness of Al6351 composites in wire EDM by creating a mathematical model using ANOVA for different combinations of the reinforcements and comparing the variations in the coefficients for different combinations of reinforcements. The developed model has been validated by conducting similar set of experiments in Al6351-5% SiC-1% B4C hybrid composite. From the work, it was identified that pulse on time and current are the major contributing factor for kerf width and wire feed rate was observed to be contributing to the surface roughness. The validation results show an average variation of 8.17% for kerf width and 11.27% for surface roughness. The work can be successfully utilized for prediction of the kerf width and surface roughness of the composites manufactured with Al6351 as the base matrix material.
ABSTRACT
BACKGROUND: Hepatocellular carcinoma (HCC) is the second leading cause of cancer death in many regions of Asia and the etiology of human HCC is clearly multi-factorial. The development of effective markers for the detection of HCC could have an impact on cancer mortality and significant health implications worldwide. The subjects presented here were recruited based on the serum alpha-fetoprotein level, which is an effective marker for HCC. Further, the chromosomal alterations were elucidated using trypsin G-banding. HCCs with p53 mutations have high malignant potential and are used as an indicator for the biological behavior of recurrent HCCs. The functional polymorphism in the XRCC1 gene, which participates in the base-excision repair of oxidative DNA damage, was associated with increased risk of early onset HCC. Thus, in this investigation, the p53 and XRCC1 gene polymorphisms using the standard protocols were also assessed to find out whether these genes may be associated with HCC susceptibility. METHODS: Blood samples from HCC patients (n = 93) were collected from oncology clinics in South India. Control subjects (n = 93) who had no history of tumors were selected and they were matched to cases on sex, age, and race. Peripheral blood was analyzed for chromosomal aberrations (CAs) and micronuclei (MN) formation. p53 and XRCC1 genotypes were detected using a PCR-RFLP technique. RESULTS: Specific biomarkers on cytogenetic endpoints might help in diagnosis and treatment measures. The frequencies of genotypes between groups were calculated by χ(2) test. A statistically significant (p < 0.05) increase in CA was observed in HCC patients compared to their controls as confirmed by ANOVA and MN shows insignificant results. The study on p53 Arg72Pro and XRCC1 Arg399Gln polymorphism in HCC patients demonstrated differences in allele frequencies compared to their controls. CONCLUSIONS: The present study indicates that chromosomal alterations and the genetic variations of p53 and XRCC1 may contribute to inter-individual susceptibility to HCC. A very limited role of genetic polymorphism was investigated in modulating the HCC risk, but the combined effect of these variants may interact to increase the risk of HCC in the South Indian population.
